Papers by Bashar Awwad Shiekh Hasan
Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing methods for hallucination detection for text-based LLMs do not capture audio-specific signals. |
| Approach: | They propose to capture pathological attention patterns associated with hallucination using four attention-derived metrics to train lightweight logistic regression classifiers. |
| Outcome: | The proposed approach outperforms baselines on in-domain data and generalises to out-of-domain ASR settings. |